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MoonBoi9001
MoonBoi9001COMMUNITY
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GitHub

review-pr

Review GitHub pull requests with six specialized AI agents.

Updated Aug 23, 2026
Search Tags:#code quality#code review#security#github#ai agents#pr review#bug detection
One-click install
npx skills add https://github.com/MoonBoi9001/claude-code-cli-tools --skill review-pr-moonboi9001
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-pr
Source: https://github.com/MoonBoi9001/claude-code-cli-tools/tree/main/skills/review-pr
Command: npx skills add https://github.com/MoonBoi9001/claude-code-cli-tools --skill review-pr-moonboi9001

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Single AI reviews often miss context and overstate minor issues; this skill uses a coordinated team of specialized agents to deeply analyze pull requests, verify real impact, and deliver trustworthy feedback that focuses on what truly matters.

Core Features & Use Cases

  • Parallel Agent Analysis: Deploys six experts in architecture, correctness, security, tests, code quality, and integration to scan changes simultaneously.
  • Impact Verification: Challenges findings for severity by tracing code paths, checking callers, and confirming consequences, reducing noise.
  • Comprehensive Reporting: Generates a structured report with prioritized issues, test gaps, and positives, saved as a Markdown file.
  • Use Case: When a developer submits a complex feature PR touching database models and API handlers, this skill uncovers hidden race conditions in state transitions and ensures test coverage for edge cases, preventing production issues.

Quick Start

Tell me to review PR #1234 and I'll fetch the details, analyze with the team, and provide a detailed report on potential bugs and improvements.

Frequently Asked Questions about review-pr

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I review GitHub pull requests for bugs and security issues?▼

Review GitHub pull requests for bugs and security issues by fetching diffs via GitHub CLI and analyzing them with a team of six specialized AI agents. These agents evaluate architecture, correctness, security, tests, code quality, and integration in parallel to uncover hidden issues.

What is the best way to automate code review for complex feature PRs?▼

Automate code review for complex feature PRs by deploying parallel AI agents to analyze changes and verify impact. This coordinated team traces code paths, checks callers, and confirms consequences to reduce noise and deliver structured, prioritized feedback on potential bugs.

How does AI agent code review verify the severity of detected issues?▼

AI agent code review verifies the severity of detected issues by tracing code paths, checking callers, and confirming real consequences. This impact verification process reduces false positives and ensures the final report focuses only on actionable, high-priority feedback.

Do I need GitHub CLI to analyze pull requests with AI agents?▼

Yes, you need GitHub CLI to analyze pull requests with AI agents. The skill requires the GitHub CLI to fetch pull request diffs and metadata before the six specialized agents can perform parallel analysis and severity verification.

Can I use AI agents to find race conditions and test gaps in my code?▼

You can use AI agents to find race conditions and test gaps in your code by analyzing pull requests that touch database models and API handlers. The agents detect hidden state transition issues and ensure test coverage for edge cases to prevent production problems.

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